Evidence map›Paper›PMID 41298746›Full record

ArticleScientific reports2025

Pathogenicity study of ascomycetous opportunistic yeasts from fresh feces of pigeons using Tenebrio molitor larvae as a host model.

Anna Glushakova, Andrei Berezhnov, Aleksey Kachalkin

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Anna GlushakovaSoil Science Faculty, Lomonosov Moscow State University, Moscow, 119234, Russia. aglush1982@gmail.com.ORCID http://orcid.org/0000-0002-4116-4445
Andrei BerezhnovInstitute for African Studies of RAS, Moscow, 123001, Russia.
Aleksey KachalkinSoil Science Faculty, Lomonosov Moscow State University, Moscow, 119234, Russia.ORCID http://orcid.org/0000-0002-4494-2468

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The choice of model to assess host-pathogen interactions is crucial for the analysis of microbial pathogenicity. Insects are increasingly chosen as model hosts for the study of microbial infections. Although the immune system responses of insects are not specific, they have a complex, evolutionarily conserved innate immune system with cellular and humoral elements. In this study, we investigated in vivo the virulence of potentially pathogenic ascomycetous yeasts found in fresh feces of street pigeons using the larval host model of Tenebrio molitor. The results were arranged in survival curves according to the Kaplan-Meier method. The yeasts Arxiozyma bovina showed the highest pathogenicity, resulting in a significantly shortest median survival time - 24 h, followed by Nakaseomyces glabratus (4 days), Candida albicans and C. tropicalis (5 days), Clavispora lusitaniae (6 days), C. parapsilosis and Pichia kudriavzevii (7 days). The T. molitor model demonstrated the pathogenic potential and virulence differences of the ascomycetous yeasts observed in fresh pigeon droppings in the city. It provided a valuable, swift and cost-effective tool for preliminary virulence screening of clinically important yeasts spread by synanthropic birds in the anthropophized areas. Its detection is of key importance for immunocompromised people and children and is in line with the One Health approach.

Indexed as

AscomycotaColumbidaeFecesTenebrioAnimalsHost-Pathogen InteractionsLarvaVirulenceArxiozyma bovinaBird droppingsCandidaSurvival analysisVirulenceWHO fungal priority pathogens list

Identifiers

PMID41298746
PMCPMC12657981

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.